Forecasting China-Africa economic integration using Wavelet- ARIMA hybrid approach

dc.contributor.authorNgundu, Marvellous
dc.contributor.authorMatemane, Reon
dc.date.accessioned2024-03-04T07:17:32Z
dc.date.available2024-03-04T07:17:32Z
dc.date.issued2023
dc.description.abstractChina-Africa economic integration generally looks lucid, as evidenced by rising bilateral trade, as well as Chinese FDI, aid, and debt financing for infrastructure development in Africa. The engagement, however, appears to be strategically channeled to benefit China’s resource endowment strategy. First, Chinese FDI in Africa is primarily resource-seeking, with minimum manufacturing value addition. Second, China has successfully replicated the Angola model in other resource-rich African countries, and most infrastructure loans-for-natural resources barter deals are said to be undervalued. There is also a resource-backed loan arrangement in place, in which default Chinese loans are repaid in natural resources. Third, while China claims that its financial aid is critical to Africa’s growth and development processes, a significant portion of the aid is spent on non-development projects such as building parliaments and government buildings. This lend credence to the notion that China uses aid to gain diplomatic recognition from African leaders, with resource-rich and/or institutionally unstable countries being the most targeted. The preceding arguments support why Africa’s exports to China dominate other China’s financial flows to Africa, and consist mainly of natural resources. Accordingly, this study aims to forecast China-Africa economic integration through the lens of China’s demand for natural resources and Africa’s demand for capital, both of which are reflected in Africa’s exports to China. The study used a MODWT-ARIMA hybrid forecasting technique to account for the short period of available China-Africa bilateral trade dataset (1992–2021), and found that Africa’s exports to China are likely to decline from US$ 119.20 billion in 2022 to US$ 13.68 billion in 2026 on average. This finding coincides with a period in which Chinese demand for Africa’s natural resources is expected to decline.en_US
dc.description.departmentFinancial Managementen_US
dc.description.librarianhj2024en_US
dc.description.sdgSDG-08:Decent work and economic growthen_US
dc.description.urihttps://systems.enpress-publisher.com/index.php/jipden_US
dc.identifier.citationNgundu, M. & Matemane, R. 2023, 'Forecasting China-Africa economic integration using Wavelet-ARIMA hybrid approach', Journal of Infrastructure, Policy and Development, vol. 7, no. 3, art. 2647, pp. 1-15, doi : 10.24294/jipd.v7i3.2647.en_US
dc.identifier.issn2572-7923 (print)
dc.identifier.issn2572-7931 (online)
dc.identifier.other10.24294/jipd.v7i3.2647
dc.identifier.urihttp://hdl.handle.net/2263/95044
dc.language.isoenen_US
dc.publisherEnPressen_US
dc.rights© 2023 Marvellous Ngundu, Aaron Tesfaye. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.en_US
dc.subjectAfrica’s exports to Chinaen_US
dc.subjectAutoregressive integrated moving average (ARIMA)en_US
dc.subjectChina-Africa economic integrationen_US
dc.subjectMaximal overlap discrete wavelet transform (MODWT)en_US
dc.subjectSDG-08: Decent work and economic growthen_US
dc.titleForecasting China-Africa economic integration using Wavelet- ARIMA hybrid approachen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Ngundu_Forecasting_2023.pdf
Size:
565.57 KB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: